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Forshay stands for people doing their best work, on teams with diverse backgrounds that foster creativity, leading to stronger business results.

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Data Scientist

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Job Description

The ideal candidate has an eye for detail, great communication, and a keenness for problem solving, as well as significant experience in recruiting and/or talent management. Examples of projects you would work on include, but are not limited to, creating business-critical dashboards, defining key metrics, and investigating challenging questions around employee attitudes and behavior. Working alongside Data Scientists who dig deep into the Company's data, you will help them translate complex findings and results into a compelling narrative. In this role, you will have tremendous upwards exposure as the Data Science team’s mouthpiece to senior business partners. If you’re passionate about leveraging data to drive business decisions, we want to hear from you.
Responsibilities include:
● Ownership: conceptualize, create, and maintain monitoring dashboards for tracking key metrics
● Communication: design and draft regular reports of progress towards company goals to product
groups and senior stakeholders
● Creativity: refine and improve definition of metrics as the company’s challenges and data evolve
● Engineering: collaborate with data engineers to better log data and manage the timeliness and
accessibility of data tables
● Investigation: carry out ad hoc descriptive analysis according to business needs
● Empowerment: strategize on making analyses easily repeatable and generalizable by other
team members in the future
Qualities we value:
● Professional industry experience in a talent- or recruiting-related quantitative analysis role (3+ years preferred)
● Comfortable in SQL and some experience with a programming language, with Python or R a plus
● Ability to communicate clearly and effectively to cross functional partners of varying technical
● Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and
accurate insights
● Experience or willingness to learn tools to create data pipelines using Airflow
● Building clear and easy to understand dashboards (Tableau) and presentations